Multivariate Analysis — yupana

Multivariate analysis for PCA and HCPC

Usage

yupana_mvr(
  data,
  last_factor = NULL,
  summary_by = NULL,
  groups = NULL,
  variables = NULL
)

Arguments

data: Field book data.
last_factor: The last factor in your fieldbook.
summary_by: Variables for group the analysis.
groups: Groups for color in PCA.
variables: Variables to be use in the analysis.

Value

result and plots

Details

Compute and plot information for multivariate analysis (PCA, HCPC and correlation).

Examples


if (FALSE) {

library(inti)
library(gsheet)

url <- paste0("https://docs.google.com/spreadsheets/d/"
              , "15r7ZwcZZHbEgltlF6gSFvCTFA-CFzVBWwg3mFlRyKPs/edit#gid=172957346")
# browseURL(url)

fb <- gsheet2tbl(url)

mv <- yupana_mvr(data = fb
                    , last_factor = "bloque"
                    , summary_by = c("geno", "treat")
                    , groups = NULL
                    )

FactoMineR::plot.PCA(mv$pca, choix = "ind", habillage =  mv$param$groups)

}